Awareness among teaching on AI and ML applications based on fuzzy in education sector at USA [0.03%]
基于模糊的美国教育领域中AI和机器学习应用的意识调查研究
Naga Simhadri,T N V R Swamy
Naga Simhadri
This paper summarises the level of knowledge held by educators in the United States on the use of artificial intelligence and machine learning in the classroom. The education industry seems to have reaped little benefits from the AI & ML in...
The impact of smart city Internet firms network embeddedness on product innovation: a moderated mediating model [0.03%]
智慧城市的互联网企业网络嵌入性对产品创新的影响：一个调停模型的实证研究
Chu Sun
Chu Sun
While networking integration has been regarded as a significant driver in technology development, it remains unknown which and how situations influence the online business innovation process. This study used survey data from 466 smart city ...
Application of big data search based on collaborative filtering algorithm in cross-border e-commerce product recommendation [0.03%]
基于协同过滤算法的大数据搜索在跨境电子商务产品推荐中的应用研究
Xiaoli Wu,Zhihao Wu
Xiaoli Wu
With the deepening of cross-border e-commerce, the trend of buying and selling goods through the Internet is rising. It is necessary to establish a cross-border e-commerce platform that meets the above functions, and improve the ability to ...
Combining SWOT analysis and neutrosophic cognitive maps for multi-criteria decision making: a case study of organic agriculture in India [0.03%]
结合SWOT分析和模糊认知图的多准则决策方法：印度有机农业案例研究
Jagan Obbineni,Ilanthenral Kandasamy,W B Vasantha et al.
Jagan Obbineni et al.
The conventional agricultural system heavily depends on chemicals and inorganic fertilizers, which cause environmental issues. Organic agriculture impacts 6 of the 17 Sustainable Developmental Goals (SDGs) of the United Nations. Strategies ...
Early infectious diseases identification based on complex probabilistic hesitant fuzzy N-soft information [0.03%]
基于复杂概率犹豫模糊N软信息的早期传染病识别
Shahzaib Ashraf,Muneeba Kousar,Muhammad Shazib Hameed
Shahzaib Ashraf
This paper aims to assess and deal with the challenges experienced by medical professionals caring for infectious diseases. In Pakistan, public health is still a serious concern and the main contributor to morbidity and mortality is infecti...
Diagnosis of COVID-19 from blood parameters using convolutional neural network [0.03%]
基于卷积神经网络的COVID-19血液参数诊断方法
Gizemnur Erol Doğan,Betül Uzbaş
Gizemnur Erol Doğan
Asymptomatically presenting COVID-19 complicates the detection of infected individuals. Additionally, the virus changes too many genomic variants, which increases the virus's ability to spread. Because there isn't a specific treatment for C...
Chenhui Qiang,Zhen Li,Yong Deng
Chenhui Qiang
In order to explore the fractal characteristic in Dempster-Shafer evidence theory, a fractal dimension of mass function is proposed recently, to reveal the invariance of scale of belief entropy. When mass function degenerates to probability...
Enhanced crow search algorithm with multi-stage search integration for global optimization problems [0.03%]
基于多阶段搜索的Crow Search算法及其全局优化性能研究
Jieguang He,Zhiping Peng,Lei Zhang et al.
Jieguang He et al.
Crow search algorithm (CSA), as a new swarm intelligence algorithm that simulates the crows' behaviors of hiding and tracking food in nature, performs well in solving many optimization problems. However, while handling complex and high-dime...
A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques [0.03%]
基于深度学习的分析胸部X光片检测COVID-19感染的研究进展综述
Kavitha Subramaniam,Natesan Palanisamy,Renugadevi Ammapalayam Sinnaswamy et al.
Kavitha Subramaniam et al.
COVID-19, a highly infectious respiratory disease a used by SARS virus, has killed millions of people across many countries. To enhance quick and accurate diagnosis of COVID-19, chest X-ray (CXR) imaging methods were commonly utilized. Iden...
Utilizing variable auto encoder-based TDO optimization algorithm for predicting loneliness from electrocardiogram signals [0.03%]
基于变量自动编码器的TDO优化算法从心电图信号中预测孤独感
R Bharathi Vidhya,S Jerritta
R Bharathi Vidhya
Several seniors and a substantial part of the general population are living in social isolation. This frequently occurs in vulnerability, isolation, and depression, which then have a poor impact on other health-related factors. A number of ...